Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 141432 |
| Missing cells | 1177844 |
| Missing cells (%) | 64.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 14.0 MiB |
| Average record size in memory | 104.0 B |
Variable types
| DateTime | 1 |
|---|---|
| Categorical | 2 |
| Numeric | 8 |
| Unsupported | 2 |
Dataset
Variable descriptions
| university | University where the experiment took place |
|---|---|
| experimentid | Experiment Id |
| userid | User id |
| day | day showing month(2), day(2) |
| timestamp | show month(2), day(2), hour(2), minute(2), second(2), decimals(3) |
| accuracy | The GPS accuracy in meters |
| bearing | The compass direction from the current position the intended destination. Bearing is measured in degrees and calculated clockwise from true north (e.g., the bearing for the direction of east is 090°) |
| lucene | NO DESCRIPTION |
| latitude | Geographic coordinate that specifies the N/S position. Latitude is an angle which ranges from 0° at the Equator to 90° at the poles. It is expressed in sexadecimal notation. |
| longitude | Geographic coordinate that specifies the E/W position. Longitude is an angle which ranges from 0° at the prime Meridian to 180°. It is expressed in sexadecimal notation |
| altitude | Elevation above sea level in meters. |
| provider | It indicates whether the coordinates were found using the network/Wi-Fi It indicates whether the coordinates were found using GPS |
| speed | The speed of the device, measured in meters/second over ground |
bearing
is highly correlated with
altitude
and
1 other fields
|
High correlation |
altitude
is highly correlated with
bearing
and
1 other fields
|
High correlation |
speed
is highly correlated with
bearing
and
1 other fields
|
High correlation |
userid
is highly correlated with
day
|
High correlation |
day
is highly correlated with
userid
|
High correlation |
altitude
is highly correlated with
speed
|
High correlation |
speed
is highly correlated with
altitude
|
High correlation |
bearing
is highly correlated with
altitude
and
1 other fields
|
High correlation |
altitude
is highly correlated with
bearing
and
1 other fields
|
High correlation |
speed
is highly correlated with
bearing
and
1 other fields
|
High correlation |
experimentid
is highly correlated with
university
|
High correlation |
university
is highly correlated with
experimentid
|
High correlation |
university
is highly correlated with
experimentid
and
4 other fields
|
High correlation |
experimentid
is highly correlated with
university
and
4 other fields
|
High correlation |
userid
is highly correlated with
university
and
4 other fields
|
High correlation |
day
is highly correlated with
university
and
4 other fields
|
High correlation |
latitude
is highly correlated with
university
and
6 other fields
|
High correlation |
longitude
is highly correlated with
university
and
5 other fields
|
High correlation |
altitude
is highly correlated with
latitude
and
1 other fields
|
High correlation |
speed
is highly correlated with
latitude
and
2 other fields
|
High correlation |
university
has 89498 (63.3%) missing values
|
Missing |
experimentid
has 89498 (63.3%) missing values
|
Missing |
userid
has 89498 (63.3%) missing values
|
Missing |
day
has 89498 (63.3%) missing values
|
Missing |
accuracy
has 89498 (63.3%) missing values
|
Missing |
bearing
has 89498 (63.3%) missing values
|
Missing |
lucene
has 141432 (100.0%) missing values
|
Missing |
latitude
has 89498 (63.3%) missing values
|
Missing |
longitude
has 89498 (63.3%) missing values
|
Missing |
altitude
has 89498 (63.3%) missing values
|
Missing |
provider
has 141432 (100.0%) missing values
|
Missing |
speed
has 89498 (63.3%) missing values
|
Missing |
speed
is highly skewed (γ1 = 35.26145027)
|
Skewed |
timestamp
has unique values
|
Unique |
lucene
is an unsupported type, check if it needs cleaning or further analysis
|
Unsupported |
provider
is an unsupported type, check if it needs cleaning or further analysis
|
Unsupported |
bearing
has 6267 (4.4%) zeros
|
Zeros |
speed
has 5006 (3.5%) zeros
|
Zeros |
Reproduction
| Analysis started | 2022-07-04 17:11:36.322731 |
|---|---|
| Analysis finished | 2022-07-04 17:11:57.247427 |
| Duration | 20.92 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 141432 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| Minimum | 1900-03-15 17:34:00 |
|---|---|
| Maximum | 1900-06-21 22:45:00 |
Histogram with fixed size bins
(bins=50)
university
Categorical
HIGH CORRELATION
HIGH CORRELATION
MISSING
University where the experiment took place
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Memory size | 1.1 MiB |
| unitn | |
|---|---|
| num | |
| lse | |
| uc | |
| aau |
Length
| Max length | 5 |
|---|---|
| Median length | 3 |
| Mean length | 3.798975623 |
| Min length | 2 |
Characters and Unicode
| Total characters | 197296 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | aau |
|---|---|
| 2nd row | aau |
| 3rd row | aau |
| 4th row | aau |
| 5th row | aau |
Common Values
| Value | Count | Frequency (%) |
| unitn | 22678 | 16.0% |
| num | 14151 | 10.0% |
| lse | 8785 | 6.2% |
| uc | 3862 | 2.7% |
| aau | 2458 | 1.7% |
| (Missing) | 89498 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| unitn | 22678 | |
| num | 14151 | |
| lse | 8785 | 16.9% |
| uc | 3862 | 7.4% |
| aau | 2458 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 59507 | |
| u | 43149 | |
| i | 22678 | 11.5% |
| t | 22678 | 11.5% |
| m | 14151 | 7.2% |
| l | 8785 | 4.5% |
| s | 8785 | 4.5% |
| e | 8785 | 4.5% |
| a | 4916 | 2.5% |
| c | 3862 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 197296 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 59507 | |
| u | 43149 | |
| i | 22678 | 11.5% |
| t | 22678 | 11.5% |
| m | 14151 | 7.2% |
| l | 8785 | 4.5% |
| s | 8785 | 4.5% |
| e | 8785 | 4.5% |
| a | 4916 | 2.5% |
| c | 3862 | 2.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 197296 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 59507 | |
| u | 43149 | |
| i | 22678 | 11.5% |
| t | 22678 | 11.5% |
| m | 14151 | 7.2% |
| l | 8785 | 4.5% |
| s | 8785 | 4.5% |
| e | 8785 | 4.5% |
| a | 4916 | 2.5% |
| c | 3862 | 2.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 197296 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 59507 | |
| u | 43149 | |
| i | 22678 | 11.5% |
| t | 22678 | 11.5% |
| m | 14151 | 7.2% |
| l | 8785 | 4.5% |
| s | 8785 | 4.5% |
| e | 8785 | 4.5% |
| a | 4916 | 2.5% |
| c | 3862 | 2.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Memory size | 1.1 MiB |
| wenet | |
|---|---|
| wenetUnitn |
Length
| Max length | 10 |
|---|---|
| Median length | 5 |
| Mean length | 7.183348096 |
| Min length | 5 |
Characters and Unicode
| Total characters | 373060 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | wenet |
|---|---|
| 2nd row | wenet |
| 3rd row | wenet |
| 4th row | wenet |
| 5th row | wenet |
Common Values
| Value | Count | Frequency (%) |
| wenet | 29256 | 20.7% |
| wenetUnitn | 22678 | 16.0% |
| (Missing) | 89498 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| wenet | 29256 | |
| wenetunitn | 22678 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 103868 | |
| n | 97290 | |
| t | 74612 | |
| w | 51934 | |
| U | 22678 | 6.1% |
| i | 22678 | 6.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 350382 | |
| Uppercase Letter | 22678 | 6.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 103868 | |
| n | 97290 | |
| t | 74612 | |
| w | 51934 | |
| i | 22678 | 6.5% |
Uppercase Letter
| Value | Count | Frequency (%) |
| U | 22678 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 373060 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 103868 | |
| n | 97290 | |
| t | 74612 | |
| w | 51934 | |
| U | 22678 | 6.1% |
| i | 22678 | 6.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 373060 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 103868 | |
| n | 97290 | |
| t | 74612 | |
| w | 51934 | |
| U | 22678 | 6.1% |
| i | 22678 | 6.1% |
| Distinct | 54 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 41.38387184 |
| Minimum | 1 |
|---|---|
| Maximum | 239 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 17 |
| median | 36 |
| Q3 | 63 |
| 95-th percentile | 74 |
| Maximum | 239 |
| Range | 238 |
| Interquartile range (IQR) | 46 |
Descriptive statistics
| Standard deviation | 32.37887885 |
|---|---|
| Coefficient of variation (CV) | 0.7824033232 |
| Kurtosis | 8.384741174 |
| Mean | 41.38387184 |
| Median Absolute Deviation (MAD) | 23 |
| Skewness | 2.004925283 |
| Sum | 2149230 |
| Variance | 1048.391796 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins
(bins=50)
| Value | Count | Frequency (%) |
| 74 | 4340 | 3.1% |
| 20 | 3578 | 2.5% |
| 28 | 3300 | 2.3% |
| 11 | 2702 | 1.9% |
| 70 | 2610 | 1.8% |
| 62 | 2443 | 1.7% |
| 63 | 2274 | 1.6% |
| 22 | 2246 | 1.6% |
| 17 | 2100 | 1.5% |
| 4 | 1897 | 1.3% |
| Other values (44) | 24444 | 17.3% |
| (Missing) | 89498 |
| Value | Count | Frequency (%) |
| 1 | 689 | 0.5% |
| 2 | 16 | < 0.1% |
| 3 | 161 | 0.1% |
| 4 | 1897 | |
| 5 | 959 | |
| 6 | 560 | 0.4% |
| 7 | 415 | 0.3% |
| 8 | 826 | |
| 9 | 292 | 0.2% |
| 10 | 8 | < 0.1% |
| Value | Count | Frequency (%) |
| 239 | 345 | 0.2% |
| 132 | 1429 | 1.0% |
| 124 | 28 | < 0.1% |
| 75 | 588 | 0.4% |
| 74 | 4340 | |
| 73 | 13 | < 0.1% |
| 72 | 6 | < 0.1% |
| 70 | 2610 | |
| 67 | 1589 | 1.1% |
| 65 | 295 | 0.2% |
| Distinct | 42 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 459.6861979 |
| Minimum | 315 |
|---|---|
| Maximum | 621 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 315 |
|---|---|
| 5-th percentile | 318 |
| Q1 | 325 |
| median | 403 |
| Q3 | 610 |
| 95-th percentile | 618 |
| Maximum | 621 |
| Range | 306 |
| Interquartile range (IQR) | 285 |
Descriptive statistics
| Standard deviation | 135.991151 |
|---|---|
| Coefficient of variation (CV) | 0.2958347491 |
| Kurtosis | -1.879616316 |
| Mean | 459.6861979 |
| Median Absolute Deviation (MAD) | 85 |
| Skewness | 0.1638212076 |
| Sum | 23873343 |
| Variance | 18493.59315 |
| Monotonicity | Increasing |
Histogram with fixed size bins
(bins=42)
| Value | Count | Frequency (%) |
| 326 | 1440 | 1.0% |
| 329 | 1440 | 1.0% |
| 318 | 1440 | 1.0% |
| 328 | 1440 | 1.0% |
| 320 | 1440 | 1.0% |
| 322 | 1440 | 1.0% |
| 327 | 1440 | 1.0% |
| 324 | 1440 | 1.0% |
| 325 | 1440 | 1.0% |
| 605 | 1439 | 1.0% |
| Other values (32) | 37535 | |
| (Missing) | 89498 |
| Value | Count | Frequency (%) |
| 315 | 154 | 0.1% |
| 316 | 888 | |
| 317 | 1357 | |
| 318 | 1440 | |
| 319 | 1437 | |
| 320 | 1440 | |
| 321 | 1439 | |
| 322 | 1440 | |
| 323 | 1438 | |
| 324 | 1440 |
| Value | Count | Frequency (%) |
| 621 | 105 | 0.1% |
| 620 | 693 | |
| 619 | 807 | |
| 618 | 1102 | |
| 617 | 1382 | |
| 616 | 1411 | |
| 615 | 1342 | |
| 614 | 1424 | |
| 613 | 1406 | |
| 612 | 1410 |
| Distinct | 14674 |
|---|---|
| Distinct (%) | 28.3% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 107.7841582 |
| Minimum | 0 |
|---|---|
| Maximum | 4979.635742 |
| Zeros | 9 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 9.5 |
| Q1 | 15.5 |
| median | 20 |
| Q3 | 28 |
| 95-th percentile | 600 |
| Maximum | 4979.635742 |
| Range | 4979.635742 |
| Interquartile range (IQR) | 12.5 |
Descriptive statistics
| Standard deviation | 354.5019987 |
|---|---|
| Coefficient of variation (CV) | 3.288999095 |
| Kurtosis | 23.76445124 |
| Mean | 107.7841582 |
| Median Absolute Deviation (MAD) | 4.980999947 |
| Skewness | 4.763849282 |
| Sum | 5597662.47 |
| Variance | 125671.6671 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins
(bins=50)
| Value | Count | Frequency (%) |
| 20 | 6119 | 4.3% |
| 100 | 527 | 0.4% |
| 4 | 483 | 0.3% |
| 6 | 479 | 0.3% |
| 1799.999023 | 471 | 0.3% |
| 500 | 432 | 0.3% |
| 16 | 365 | 0.3% |
| 26.39999962 | 345 | 0.2% |
| 1700 | 343 | 0.2% |
| 8 | 338 | 0.2% |
| Other values (14664) | 42032 | |
| (Missing) | 89498 |
| Value | Count | Frequency (%) |
| 0 | 9 | < 0.1% |
| 0.75 | 5 | < 0.1% |
| 1 | 14 | < 0.1% |
| 1.5 | 21 | < 0.1% |
| 2 | 61 | < 0.1% |
| 2.5 | 50 | < 0.1% |
| 3 | 174 | |
| 3.182858467 | 1 | < 0.1% |
| 3.21600008 | 68 | < 0.1% |
| 3.34194231 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 4979.635742 | 1 | < 0.1% |
| 4300 | 1 | < 0.1% |
| 4197 | 1 | < 0.1% |
| 3799.999023 | 1 | < 0.1% |
| 3700 | 1 | < 0.1% |
| 3599.999023 | 1 | < 0.1% |
| 3500 | 2 | < 0.1% |
| 3448 | 1 | < 0.1% |
| 3200 | 1 | < 0.1% |
| 3099.999023 | 12 |
bearing
Real number (ℝ)
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS
The compass direction from the current position the intended destination. Bearing is measured in degrees and calculated clockwise from true north (e.g., the bearing for the direction of east is 090°)
| Distinct | 4541 |
|---|---|
| Distinct (%) | 8.7% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.12325471 |
| Minimum | -1 |
|---|---|
| Maximum | 359.9 |
| Zeros | 6267 |
| Zeros (%) | 4.4% |
| Negative | 39609 |
| Negative (%) | 28.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | -1 |
| Q3 | -1 |
| 95-th percentile | 200.811 |
| Maximum | 359.9 |
| Range | 360.9 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 68.2312274 |
|---|---|
| Coefficient of variation (CV) | 3.390665595 |
| Kurtosis | 11.03157383 |
| Mean | 20.12325471 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.441740688 |
| Sum | 1045081.11 |
| Variance | 4655.500392 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins
(bins=50)
| Value | Count | Frequency (%) |
| -1 | 39609 | |
| 0 | 6267 | 4.4% |
| 205.51 | 42 | < 0.1% |
| 40 | 10 | < 0.1% |
| 266.02 | 9 | < 0.1% |
| 175 | 7 | < 0.1% |
| 340.8 | 6 | < 0.1% |
| 299 | 6 | < 0.1% |
| 95.28 | 6 | < 0.1% |
| 348.6 | 5 | < 0.1% |
| Other values (4531) | 5967 | 4.2% |
| (Missing) | 89498 |
| Value | Count | Frequency (%) |
| -1 | 39609 | |
| 0 | 6267 | 4.4% |
| 0.02 | 1 | < 0.1% |
| 0.05 | 1 | < 0.1% |
| 0.2 | 3 | < 0.1% |
| 0.3 | 2 | < 0.1% |
| 0.37 | 1 | < 0.1% |
| 0.4 | 2 | < 0.1% |
| 0.45 | 1 | < 0.1% |
| 0.5 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 359.9 | 4 | |
| 359.8 | 3 | |
| 359.71 | 1 | < 0.1% |
| 359.7 | 1 | < 0.1% |
| 359.68 | 1 | < 0.1% |
| 359.6 | 3 | |
| 359.5 | 3 | |
| 359.49 | 1 | < 0.1% |
| 359.47 | 1 | < 0.1% |
| 359.4 | 3 |
latitude
Real number (ℝ)
HIGH CORRELATION
MISSING
Geographic coordinate that specifies the N/S position. Latitude is an angle which ranges from 0° at the Equator to 90° at the poles. It is expressed in sexadecimal notation.
| Distinct | 3402 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 41.72893268 |
| Minimum | -25.5307 |
|---|---|
| Maximum | 55.7154 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 3862 |
| Negative (%) | 2.7% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | -25.5307 |
|---|---|
| 5-th percentile | -25.2936 |
| Q1 | 45.3562 |
| median | 47.9111 |
| Q3 | 49.811 |
| 95-th percentile | 51.529 |
| Maximum | 55.7154 |
| Range | 81.2461 |
| Interquartile range (IQR) | 4.4548 |
Descriptive statistics
| Standard deviation | 19.74745999 |
|---|---|
| Coefficient of variation (CV) | 0.4732318496 |
| Kurtosis | 7.068208706 |
| Mean | 41.72893268 |
| Median Absolute Deviation (MAD) | 2.5549 |
| Skewness | -2.940769513 |
| Sum | 2167150.39 |
| Variance | 389.9621761 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins
(bins=50)
| Value | Count | Frequency (%) |
| 45.3562 | 2957 | 2.1% |
| 51.4585 | 2295 | 1.6% |
| 49.8111 | 1824 | 1.3% |
| 45.6343 | 1785 | 1.3% |
| 51.5026 | 1682 | 1.2% |
| -25.2936 | 1636 | 1.2% |
| 45.8894 | 1220 | 0.9% |
| -25.5218 | 1181 | 0.8% |
| 47.9184 | 1023 | 0.7% |
| 45.0782 | 976 | 0.7% |
| Other values (3392) | 35355 | 25.0% |
| (Missing) | 89498 |
| Value | Count | Frequency (%) |
| -25.5307 | 3 | |
| -25.5306 | 3 | |
| -25.526 | 1 | < 0.1% |
| -25.5257 | 2 | < 0.1% |
| -25.5255 | 1 | < 0.1% |
| -25.5251 | 1 | < 0.1% |
| -25.5248 | 2 | < 0.1% |
| -25.5239 | 5 | |
| -25.5229 | 1 | < 0.1% |
| -25.5222 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 55.7154 | 1 | < 0.1% |
| 55.7148 | 1 | < 0.1% |
| 55.7131 | 2 | < 0.1% |
| 55.713 | 3 | < 0.1% |
| 55.7129 | 3 | < 0.1% |
| 55.7128 | 12 | |
| 55.7127 | 1 | < 0.1% |
| 55.7126 | 2 | < 0.1% |
| 55.7125 | 1 | < 0.1% |
| 55.7123 | 1 | < 0.1% |
longitude
Real number (ℝ)
HIGH CORRELATION
MISSING
Geographic coordinate that specifies the E/W position. Longitude is an angle which ranges from 0° at the prime Meridian to 180°. It is expressed in sexadecimal notation
| Distinct | 3951 |
|---|---|
| Distinct (%) | 7.6% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30.28057019 |
| Minimum | -57.6377 |
|---|---|
| Maximum | 114.5797 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 13452 |
| Negative (%) | 9.5% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | -57.6377 |
|---|---|
| 5-th percentile | -55.02769 |
| Q1 | -0.0373 |
| median | 11.6359 |
| Q3 | 106.8142 |
| 95-th percentile | 106.9338 |
| Maximum | 114.5797 |
| Range | 172.2174 |
| Interquartile range (IQR) | 106.8515 |
Descriptive statistics
| Standard deviation | 49.86865754 |
|---|---|
| Coefficient of variation (CV) | 1.646886344 |
| Kurtosis | -0.7764268798 |
| Mean | 30.28057019 |
| Median Absolute Deviation (MAD) | 11.7058 |
| Skewness | 0.5218866345 |
| Sum | 1572591.132 |
| Variance | 2486.883005 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins
(bins=50)
| Value | Count | Frequency (%) |
| 11.6359 | 2940 | 2.1% |
| -0.9112 | 2152 | 1.5% |
| 106.8142 | 2058 | 1.5% |
| 9.9568 | 1708 | 1.2% |
| -0.0738 | 1575 | 1.1% |
| -57.6364 | 1565 | 1.1% |
| 11.4234 | 1504 | 1.1% |
| 11.042 | 1180 | 0.8% |
| 11.7868 | 887 | 0.6% |
| -54.6357 | 882 | 0.6% |
| Other values (3941) | 35483 | 25.1% |
| (Missing) | 89498 |
| Value | Count | Frequency (%) |
| -57.6377 | 2 | < 0.1% |
| -57.6376 | 4 | < 0.1% |
| -57.6375 | 20 | < 0.1% |
| -57.6374 | 165 | |
| -57.6373 | 2 | < 0.1% |
| -57.6371 | 2 | < 0.1% |
| -57.637 | 3 | < 0.1% |
| -57.6369 | 3 | < 0.1% |
| -57.6368 | 13 | < 0.1% |
| -57.6367 | 14 | < 0.1% |
| Value | Count | Frequency (%) |
| 114.5797 | 1 | |
| 114.5775 | 1 | |
| 114.57 | 1 | |
| 114.5695 | 1 | |
| 114.5488 | 1 | |
| 114.5474 | 1 | |
| 114.5406 | 1 | |
| 114.5395 | 1 | |
| 114.5348 | 1 | |
| 114.5345 | 2 |
altitude
Real number (ℝ)
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
Elevation above sea level in meters.
| Distinct | 7783 |
|---|---|
| Distinct (%) | 15.0% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 140.7759564 |
| Minimum | -612.6527 |
|---|---|
| Maximum | 11735.5215 |
| Zeros | 13 |
| Zeros (%) | < 0.1% |
| Negative | 39677 |
| Negative (%) | 28.1% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | -612.6527 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | -1 |
| Q3 | -1 |
| 95-th percentile | 1278 |
| Maximum | 11735.5215 |
| Range | 12348.1742 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 433.5180995 |
|---|---|
| Coefficient of variation (CV) | 3.079489641 |
| Kurtosis | 165.5210308 |
| Mean | 140.7759564 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 8.308967639 |
| Sum | 7311058.52 |
| Variance | 187937.9426 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins
(bins=50)
| Value | Count | Frequency (%) |
| -1 | 39609 | |
| 57.9373 | 42 | < 0.1% |
| 1253 | 41 | < 0.1% |
| 224 | 39 | < 0.1% |
| 1252 | 36 | < 0.1% |
| 1259 | 34 | < 0.1% |
| 1255 | 34 | < 0.1% |
| 1267 | 34 | < 0.1% |
| 1266 | 33 | < 0.1% |
| 1263 | 32 | < 0.1% |
| Other values (7773) | 12000 | 8.5% |
| (Missing) | 89498 |
| Value | Count | Frequency (%) |
| -612.6527 | 1 | |
| -537.4575 | 1 | |
| -493.5824 | 1 | |
| -308.3714 | 1 | |
| -256.1955 | 1 | |
| -243.6156 | 1 | |
| -229.0302 | 1 | |
| -180 | 1 | |
| -158.5188 | 1 | |
| -113.5008 | 1 |
| Value | Count | Frequency (%) |
| 11735.5215 | 1 | |
| 11689.9072 | 1 | |
| 11689.6738 | 1 | |
| 11680.8252 | 1 | |
| 11361.2246 | 1 | |
| 11354.6992 | 1 | |
| 11349.2764 | 1 | |
| 11340.2432 | 1 | |
| 11331.4834 | 1 | |
| 11321.7539 | 1 |
provider
Unsupported
MISSING
REJECTED
UNSUPPORTED
It indicates whether the coordinates were found using the network/Wi-Fi It indicates whether the coordinates were found using GPS
| Missing | 141432 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 1.1 MiB |
speed
Real number (ℝ)
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS
The speed of the device, measured in meters/second over ground
| Distinct | 1225 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 89498 |
| Missing (%) | 63.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1162155811 |
| Minimum | -1 |
|---|---|
| Maximum | 244.9700012 |
| Zeros | 5006 |
| Zeros (%) | 3.5% |
| Negative | 39609 |
| Negative (%) | 28.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | -0.009999999776 |
| Q3 | -0.009999999776 |
| 95-th percentile | 1.24000001 |
| Maximum | 244.9700012 |
| Range | 245.9700012 |
| Interquartile range (IQR) | 0.9900000002 |
Descriptive statistics
| Standard deviation | 5.172068915 |
|---|---|
| Coefficient of variation (CV) | 44.50409203 |
| Kurtosis | 1527.904085 |
| Mean | 0.1162155811 |
| Median Absolute Deviation (MAD) | 0.01999999955 |
| Skewness | 35.26145027 |
| Sum | 6035.539987 |
| Variance | 26.75029687 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins
(bins=50)
| Value | Count | Frequency (%) |
| -0.009999999776 | 20923 | 14.8% |
| -1 | 18686 | 13.2% |
| 0 | 5006 | 3.5% |
| 0.009999999776 | 85 | 0.1% |
| 0.2899999917 | 82 | 0.1% |
| 0.2199999988 | 76 | 0.1% |
| 0.1899999976 | 75 | 0.1% |
| 0.2599999905 | 73 | 0.1% |
| 0.3899999857 | 72 | 0.1% |
| 0.4799999893 | 72 | 0.1% |
| Other values (1215) | 6784 | 4.8% |
| (Missing) | 89498 |
| Value | Count | Frequency (%) |
| -1 | 18686 | |
| -0.009999999776 | 20923 | |
| 0 | 5006 | 3.5% |
| 0.009999999776 | 85 | 0.1% |
| 0.01999999955 | 65 | < 0.1% |
| 0.02999999933 | 51 | < 0.1% |
| 0.03999999911 | 53 | < 0.1% |
| 0.05000000075 | 20 | < 0.1% |
| 0.05999999866 | 48 | < 0.1% |
| 0.0700000003 | 27 | < 0.1% |
| Value | Count | Frequency (%) |
| 244.9700012 | 1 | |
| 243.3500061 | 1 | |
| 242.5 | 1 | |
| 242.3600006 | 1 | |
| 240.75 | 1 | |
| 240.6199951 | 1 | |
| 240.1100006 | 1 | |
| 238.8699951 | 1 | |
| 237.1799927 | 1 | |
| 235.4400024 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient ( ρ ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r . It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y , one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient ( r ) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r .To calculate r for two variables X and Y , one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient ( τ ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y , one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here .Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here .
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.